Fei-Fei Li

Artificial Intelligence · with Bohg · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Reinforcement Learning — 15 citations into it

Whom Fei-Fei Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma

Papers from Fei-Fei Li's perspective

Ordered by how strongly the researchers Fei-Fei Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
4. Trust Region Policy Optimization (International Conference on Machine Learning)
5. ImageNet classification with deep convolutional neural networks
6. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. WaveNet: A Generative Model for Raw Audio
9. Gradient-based learning applied to document recognition
10. End-to-End Training of Deep Visuomotor Policies

Their papers

• Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks (2019) — 283 citations